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Modal split analysis by best-worst method and multinominal logit model

Cingel Michal, Drliciak Marek, Celko Jan, Zabovska Katarína

Transport Problems

2023

T. 18, z. 1

55--65

The behavioral features of the population are addressed in transport models by different levels of territorial disaggregation and the creation of demand strata in a territory. The need for input data grows exponentially with the demand for a detailed zonal system of the territory. The basic source is the mobility survey. This article deals with the comparison of the calculation of the probability of choosing a transport mode for trips using the classic multinominal logit model and the best-worst method. We used data from a mobility survey in the Žilina region as a basic sample. The analysis covered 11 districts and their gravity areas. The individual transport relations are evaluated in detail in the analysis. The results confirm the high degree of accuracy of the best-worst method in the calculation of mode choice on a regional scale. Despite the promising results of the agreement in the confrontation with the mobility survey, it is necessary to verify the modeled data with a more detailed area with disaggregation on-demand strata.

Suitability of Rural Living & Work Facilities, Spatial Behavior of Farmers and Family Income

Mao Yanling, Li Na

Problemy Ekorozwoju

2022

Vol. 17, nr 1

71--83

In recent years, China has put forward policies to improve rural infrastructure and promote the development of rural industries causing to dramatic transition in the living and employment conditions. Moreover, under the pressure of the high expenditure of living and the difficulty of finding jobs, new changes have taken place in the spatial behavior pattern of farmers’ residence and employment. Based on a field survey of 839 observations in 123 villages in Poyang Lake basin, China, we developed indicators to evaluate the suitability of rural living facilities (SLF) and work facilities (SWF). Multinomial logit regression model was used to measure the relationship between SWF, SLF and the spatial behavior patterns of farmers. The results show that: (1) SWF development in rural areas lags behind SLF; (2) Higher SLF is most distributed in suburban areas ; (3) Higher SWF is mostly distributed in suburban towns and characteristic towns; (4) The effects of SLF and SWF on the spatial behavior patterns of farmers are significantly positive; (5) Farmers in the urban-rural amphibious pattern usually obtain a higher income level, and also bring vitality to the countryside.

W ostatnich latach Chiny przedstawiły politykę poprawy infrastruktury wiejskiej i promowania rozwoju przemysłu wiejskiego, powodując istotne zmiany w warunkach życia i zatrudnienia. Ponadto, pod presją wysokich wydatków na życie i występujących trudności ze znalezieniem pracy, nastąpiły nowe zmiany w przestrzennym wzorcu zachowań rolników w miejscu zamieszkania i pracy. Na podstawie ankiety terenowej obejmującej 839 obserwacji w 123 wioskach w dorzeczu jeziora Poyang w Chinach, opracowaliśmy wskaźniki do oceny przydatności ułatwiania życia na wsi (SLF) i ułatwiania pracy (SWF). Do pomiaru związku między SWF, SLF a przestrzennymi wzorcami zachowań rolników zastosowano wielomianowy model regresji logitowej. Wyniki pokazują, że: (1) rozwój SWF na obszarach wiejskich pozostaje w tyle za SLF; (2) SLF jest najbardziej rozpowszechniony na obszarach podmiejskich, podczas gdy; (3) Wyższe SWF są rozprowadzane głównie w miejscowościach podmiejskich i miejscowościach charakterystycznych; (4) Wpływ SLF i SWF na przestrzenne wzorce zachowań rolników jest znacząco pozytywny; (5) Rolnicy funkcjonujący w układzie miejsko-wiejskim zwykle uzyskują wyższy poziom dochodów, a także wnoszą witalność wsi.

Impact assessment of short-term management measures on travel demand

D'Cruz Jinit J.M., Alex Anu P., Manju V. S., Peter Leema

Archives of Transport

2020

Vol. 53, iss. 1

37--52

Travel Demand Management (TDM) can be considered as the most viable option to manage the increasing traffic demand by controlling excessive usage of personalized vehicles. TDM provides expanded options to manage existing travel demand by redistributing the demand rather than increasing the supply. To analyze the impact of TDM measures, the existing travel demand of the area should be identified. In order to get quantitative information on the travel demand and the performance of different alternatives or choices of the available transportation system, travel demand model has to be developed. This concept is more useful in developing countries like India, which have limited resources and increasing demands. Transport related issues such as congestion, low service levels and lack of efficient public transportation compels commuters to shift their travel modes to private transport, resulting in unbalanced modal splits. The present study explores the potential to implement travel demand management measures at Kazhakoottam, an IT business hub cum residential area of Thiruvananthapuram city, a medium sized city in India. Travel demand growth at Kazhakoottam is a matter of concern because the traffic is highly concentrated in this area and facility expansion costs are pretty high. A sequential four-stage travel demand model was developed based on a total of 1416 individual household questionnaire responses using the macro simulation software CUBE. Trip generation models were developed using linear regression and mode split was modelled as multinomial logit model in SPSS. The base year traffic flows were estimated and validated with field data. The developed model was then used for improving the road network conditions by suggesting short-term TDM measures. Three TDM scenarios viz; integrating public transit system with feeder mode, carpooling and reducing the distance of bus stops from zone centroids were analysed. The results indicated an increase in public transit ridership and considerable modal shift from private to public/shared transit.